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Philip Resnik: ‘to address LLM bias, start from the hard-core interpretation of the distributional hypothesis, where meaning is distribution, as opposed to distribution being part of what goes into the characterization of meaning and inference’ @complingjournal.bsky.social doi.org/10.1162/coli...
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Abstract. This position paper’s primary goal is to provoke thoughtful discussion about the relationship between bias and fundamental properties of large language models (LLMs). I do this by seeking to...
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Large Language Models Are Biased Because They Are Large Language Models
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